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Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults
BACKGROUND: Changes in DNA methylation over the course of life may provide an indicator of risk for cancer. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of future cancer diagnosis. METHODS: Peripheral blood samples were obtained at baseline and at follow-...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537435/ https://www.ncbi.nlm.nih.gov/pubmed/31149338 http://dx.doi.org/10.1186/s40364-019-0161-3 |
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author | Bartlett, Alexandra H. Liang, Jane W. Sandoval-Sierra, Jose Vladimir Fowke, Jay H. Simonsick, Eleanor M. Johnson, Karen C. Mozhui, Khyobeni |
author_facet | Bartlett, Alexandra H. Liang, Jane W. Sandoval-Sierra, Jose Vladimir Fowke, Jay H. Simonsick, Eleanor M. Johnson, Karen C. Mozhui, Khyobeni |
author_sort | Bartlett, Alexandra H. |
collection | PubMed |
description | BACKGROUND: Changes in DNA methylation over the course of life may provide an indicator of risk for cancer. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of future cancer diagnosis. METHODS: Peripheral blood samples were obtained at baseline and at follow-up visit from 20 participants in the Health, Aging and Body Composition prospective cohort study. Genome-wide CpG methylation was assayed using the Illumina Infinium Human MethylationEPIC (HM850K) microarray. RESULTS: Global patterns in DNA methylation from CpG-based analyses showed extensive changes in cell composition over time in participants who developed cancer. By visit year 6, the proportion of CD8+ T-cells decreased (p-value = 0.02), while granulocytes cell levels increased (p-value = 0.04) among participants diagnosed with cancer compared to those who remained cancer-free (cancer-free vs. cancer-present: 0.03 ± 0.02 vs. 0.003 ± 0.005 for CD8+ T-cells; 0.52 ± 0.14 vs. 0.66 ± 0.09 for granulocytes). Epigenome-wide analysis identified three CpGs with suggestive p-values ≤10(− 5) for differential methylation between cancer-free and cancer-present groups, including a CpG located in MTA3, a gene linked with metastasis. At a lenient statistical threshold (p-value ≤3 × 10(− 5)), the top 10 cancer-associated CpGs included a site near RPTOR that is involved in the mTOR pathway, and the candidate tumor suppressor genes REC8, KCNQ1, and ZSWIM5. However, only the CpG in RPTOR (cg08129331) was replicated in an independent data set. Analysis of within-individual change from baseline to Year 6 found significant correlations between the rates of change in methylation in RPTOR, REC8 and ZSWIM5, and time to cancer diagnosis. CONCLUSION: The results show that changes in cellular composition explains much of the cross-sectional and longitudinal variation in CpG methylation. Additionally, differential methylation and longitudinal dynamics at specific CpGs could provide powerful indicators of cancer development and/or progression. In particular, we highlight CpG methylation in the RPTOR gene as a potential biomarker of cancer that awaits further validation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40364-019-0161-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6537435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65374352019-05-30 Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults Bartlett, Alexandra H. Liang, Jane W. Sandoval-Sierra, Jose Vladimir Fowke, Jay H. Simonsick, Eleanor M. Johnson, Karen C. Mozhui, Khyobeni Biomark Res Research BACKGROUND: Changes in DNA methylation over the course of life may provide an indicator of risk for cancer. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of future cancer diagnosis. METHODS: Peripheral blood samples were obtained at baseline and at follow-up visit from 20 participants in the Health, Aging and Body Composition prospective cohort study. Genome-wide CpG methylation was assayed using the Illumina Infinium Human MethylationEPIC (HM850K) microarray. RESULTS: Global patterns in DNA methylation from CpG-based analyses showed extensive changes in cell composition over time in participants who developed cancer. By visit year 6, the proportion of CD8+ T-cells decreased (p-value = 0.02), while granulocytes cell levels increased (p-value = 0.04) among participants diagnosed with cancer compared to those who remained cancer-free (cancer-free vs. cancer-present: 0.03 ± 0.02 vs. 0.003 ± 0.005 for CD8+ T-cells; 0.52 ± 0.14 vs. 0.66 ± 0.09 for granulocytes). Epigenome-wide analysis identified three CpGs with suggestive p-values ≤10(− 5) for differential methylation between cancer-free and cancer-present groups, including a CpG located in MTA3, a gene linked with metastasis. At a lenient statistical threshold (p-value ≤3 × 10(− 5)), the top 10 cancer-associated CpGs included a site near RPTOR that is involved in the mTOR pathway, and the candidate tumor suppressor genes REC8, KCNQ1, and ZSWIM5. However, only the CpG in RPTOR (cg08129331) was replicated in an independent data set. Analysis of within-individual change from baseline to Year 6 found significant correlations between the rates of change in methylation in RPTOR, REC8 and ZSWIM5, and time to cancer diagnosis. CONCLUSION: The results show that changes in cellular composition explains much of the cross-sectional and longitudinal variation in CpG methylation. Additionally, differential methylation and longitudinal dynamics at specific CpGs could provide powerful indicators of cancer development and/or progression. In particular, we highlight CpG methylation in the RPTOR gene as a potential biomarker of cancer that awaits further validation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40364-019-0161-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-28 /pmc/articles/PMC6537435/ /pubmed/31149338 http://dx.doi.org/10.1186/s40364-019-0161-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bartlett, Alexandra H. Liang, Jane W. Sandoval-Sierra, Jose Vladimir Fowke, Jay H. Simonsick, Eleanor M. Johnson, Karen C. Mozhui, Khyobeni Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title | Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title_full | Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title_fullStr | Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title_full_unstemmed | Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title_short | Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults |
title_sort | longitudinal study of leukocyte dna methylation and biomarkers for cancer risk in older adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537435/ https://www.ncbi.nlm.nih.gov/pubmed/31149338 http://dx.doi.org/10.1186/s40364-019-0161-3 |
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